The hybrid choice model (HCM) provides a powerful framework to account for heterogeneity
across decision-makers in terms of different underlying latent attitudes. Typically, effects of …

The availability of public databases provides a great amount of data for research, but their
use can involve a lack of detailed information about the decision-makers. This fact prevents …

Robustness of results from estimated curvatures. We imply overall that, beyond mere fit and
other demonstrated benefits, untested linear forms of Standard Logit utility function variables …

Estimating discrete choices under uncertainty typically rely on assumptions of expected
utility theory. We build on the dynamic choice modeling literature by using a nonlinear case …

This summary-for-students presents the claim of some recent analyses of home-based daily
urban trips made in France or in the USA that the first four moments of travel time, not just the …

To represent the behavior of travelers when they are deciding how they are going to get to
their destination, discrete choice models, based on the random utility theory, have become …

We estimate demand functions for work trip duration, assumed to combine the expected
value of endured transport service and a safety margin constructed by the commuter …

After writing a preface to ease the interested reader's engagement, I summarily outline two of
Gaudry's innovative streams of contributions and their documented references. My preface …

This research proposed an extensive hypothesis testing framework for estimating discrete
choice models. Discovery of meaningful discrete choice specifications was investigated as …

We argue from selected mode choice analyses carried out during the last 30 years that the
profitability of transport infrastructure investments in High Speed Rail and other modes must …